Artificial intelligence for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging.

Journal: EBioMedicine
Published Date: Apr 12, 2021

Abstract

BACKGROUND: artificial intelligence (AI) for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging (WSI) is lacking. We aim to establish an AI chronic rhinosinusitis evaluation platform 2.0 (AICEP 2.0) to obtain the proportion of inflammatory cells for cellular phenotyping diagnosis of nasal polyps and to explore the clinical significance of different phenotypes of nasal polyps on the WSI.

Authors

  • Qingwu Wu
    Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Jianning Chen
    Department of Pathology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Yong Ren
    Artificial Intelligence Innovation Center, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, China.
  • Huijun Qiu
    Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
  • Lianxiong Yuan
    Department of Science and Research, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. Electronic address: hanlance@tsinghua-gd.org.
  • Huiyi Deng
    Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Yana Zhang
    Feinberg School of Medicine, Northwestern University, Chicago, Ill.
  • Rui Zheng
    HKUST-DT System and Media Laboratory, Hong Kong University of Science and Technology, HongKong.
  • Haiyu Hong
    Department of Otolaryngology-Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
  • Yueqi Sun
    Otorhinolaryngology Hospital, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Xinyue Wang
    Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
  • Xuekun Huang
    Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Chunkui Shao
    Department of Pathology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
  • Haotian Lin
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou.
  • Lanqing Han
    Artificial Intelligence Innovation Center, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, China.
  • Qintai Yang
    Department of Otorhinolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. Electronic address: yang.qt@163.com.

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